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11. 发明授权

US08666739B2 Method for estimating language model weight and system for the same 失效
标题翻译：用于估计语言模型权重和系统的方法
公开(公告)号：US08666739B2
公开(公告)日：2014-03-04
申请号：US13324414
申请日：2011-12-13
申请人： Hyung Bae Jeon , Yun Keun Lee , Eui Sok Chung , Jong Jin Kim , Hoon Chung , Jeon Gue Park , Ho Young Jung , Byung Ok Kang , Ki Young Park , Sung Joo Lee , Jeom Ja Kang , Hwa Jeon Song
发明人： Hyung Bae Jeon , Yun Keun Lee , Eui Sok Chung , Jong Jin Kim , Hoon Chung , Jeon Gue Park , Ho Young Jung , Byung Ok Kang , Ki Young Park , Sung Joo Lee , Jeom Ja Kang , Hwa Jeon Song
IPC分类号： G10L15/00
CPC分类号： G10L15/065 , G10L15/187
摘要： Method of the present invention may include receiving speech feature vector converted from speech signal, performing first search by applying first language model to the received speech feature vector, and outputting word lattice and first acoustic score of the word lattice as continuous speech recognition result, outputting second acoustic score as phoneme recognition result by applying an acoustic model to the speech feature vector, comparing the first acoustic score of the continuous speech recognition result with the second acoustic score of the phoneme recognition result, outputting first language model weight when the first coustic score of the continuous speech recognition result is better than the second acoustic score of the phoneme recognition result and performing a second search by applying a second language model weight, which is the same as the output first language model, to the word lattice.
摘要翻译：本发明的方法可以包括接收从语音信号转换的语音特征向量，通过对接收的语音特征向量应用第一语言模型来执行第一搜索，并且将字格的字格和第一声分数输出为连续语音识别结果，输出第二声学分数作为音素识别结果，通过对语音特征向量应用声学模型，将连续语音识别结果的第一声学分数与音素识别结果的第二声学分数进行比较，当第一个coustic分数输出第一语言模型权重时，连续语音识别结果比音素识别结果的第二声分数更好，并且通过将与输出第一语言模型相同的第二语言模型权重应用于单词格来进行第二搜索。

12. 发明申请

US20120150539A1 METHOD FOR ESTIMATING LANGUAGE MODEL WEIGHT AND SYSTEM FOR THE SAME 失效
标题翻译：用于估算语言模型重量和系统的方法
公开(公告)号：US20120150539A1
公开(公告)日：2012-06-14
申请号：US13324414
申请日：2011-12-13
申请人： Hyung Bae Jeon , Yun Keun Lee , Eui Sok Chung , Jong Jin Kim , Hoon Chung , Jeon Gue Park , Ho Young Jung , Byung Ok Kang , Ki Young Park , Sung Joo Lee , Jeom Ja Kang , Hwa Jeon Song
发明人： Hyung Bae Jeon , Yun Keun Lee , Eui Sok Chung , Jong Jin Kim , Hoon Chung , Jeon Gue Park , Ho Young Jung , Byung Ok Kang , Ki Young Park , Sung Joo Lee , Jeom Ja Kang , Hwa Jeon Song
IPC分类号： G10L15/00
CPC分类号： G10L15/065 , G10L15/187
摘要： Method of the present invention may include receiving speech feature vector converted from speech signal, performing first search by applying first language model to the received speech feature vector, and outputting word lattice and first acoustic score of the word lattice as continuous speech recognition result, outputting second acoustic score as phoneme recognition result by applying an acoustic model to the speech feature vector, comparing the first acoustic score of the continuous speech recognition result with the second acoustic score of the phoneme recognition result, outputting first language model weight when the first coustic score of the continuous speech recognition result is better than the second acoustic score of the phoneme recognition result and performing a second search by applying a second language model weight, which is the same as the output first language model, to the word lattice.
摘要翻译：本发明的方法可以包括接收从语音信号转换的语音特征向量，通过对接收的语音特征向量应用第一语言模型来执行第一搜索，并且将字格的字格和第一声分数输出为连续语音识别结果，输出第二声学分数作为音素识别结果，通过对语音特征向量应用声学模型，将连续语音识别结果的第一声学分数与音素识别结果的第二声学分数进行比较，当第一个coustic分数输出第一语言模型权重时，连续语音识别结果比音素识别结果的第二声分数更好，并且通过将与输出第一语言模型相同的第二语言模型权重应用于单词格来进行第二搜索。

13. 发明授权

US08219396B2 Apparatus and method for evaluating performance of speech recognition 有权
标题翻译：用于评估语音识别性能的装置和方法
公开(公告)号：US08219396B2
公开(公告)日：2012-07-10
申请号：US12336208
申请日：2008-12-16
申请人： Hoon-Young Cho , Yunkeun Lee , Ho-Young Jung , Byung Ok Kang , Jeom Ja Kang , Kap Kee Kim , Sung Joo Lee , Hoon Chung , Jeon Gue Park , Hyung-Bae Jeon
发明人： Hoon-Young Cho , Yunkeun Lee , Ho-Young Jung , Byung Ok Kang , Jeom Ja Kang , Kap Kee Kim , Sung Joo Lee , Hoon Chung , Jeon Gue Park , Hyung-Bae Jeon
IPC分类号： G10L15/00
CPC分类号： G10L15/01
摘要： An apparatus for evaluating the performance of speech recognition includes a speech database for storing N-number of test speech signals for evaluation. A speech recognizer is located in an actual environment and executes the speech recognition of the test speech signals reproduced using a loud speaker from the speech database in the actual environment to produce speech recognition results. A performance evaluation module evaluates the performance of the speech recognition by comparing correct recognition results answers with the speech recognition results.
摘要翻译：用于评估语音识别性能的装置包括用于存储用于评估的N个测试语音信号的语音数据库。语音识别器位于实际环境中，并且在实际环境中执行使用来自语音数据库的扬声器再现的测试语音信号的语音识别，以产生语音识别结果。性能评估模块通过将正确的识别结果答案与语音识别结果进行比较来评估语音识别的性能。

14. 发明申请

US20090157399A1 APPARATUS AND METHOD FOR EVALUATING PERFORMANCE OF SPEECH RECOGNITION 有权
标题翻译：评估语音识别性能的装置和方法
公开(公告)号：US20090157399A1
公开(公告)日：2009-06-18
申请号：US12336208
申请日：2008-12-16
申请人： Hoon-Young CHO , Yunkeun Lee , Ho-Young Jung , Byung Ok Kang , Jeom Ja Kang , Kap Kee Kim , Sung Joo Lee , Hoon Chung , Jeon Gue Park , Hyung-Bae Jeon
发明人： Hoon-Young CHO , Yunkeun Lee , Ho-Young Jung , Byung Ok Kang , Jeom Ja Kang , Kap Kee Kim , Sung Joo Lee , Hoon Chung , Jeon Gue Park , Hyung-Bae Jeon
IPC分类号： G10L15/00
CPC分类号： G10L15/01
摘要： An apparatus for evaluating the performance of speech recognition includes a speech database for storing N-number of test speech signals for evaluation. A speech recognizer is located in an actual environment and executes the speech recognition of the test speech signals reproduced using a loud speaker from the speech database in the actual environment to produce speech recognition results. A performance evaluation module evaluates the performance of the speech recognition by comparing correct recognition results answers with the speech recognition results.
摘要翻译：用于评估语音识别性能的装置包括用于存储用于评估的N个测试语音信号的语音数据库。语音识别器位于实际环境中，并且在实际环境中执行使用来自语音数据库的扬声器再现的测试语音信号的语音识别，以产生语音识别结果。性能评估模块通过将正确的识别结果答案与语音识别结果进行比较来评估语音识别的性能。

15. 发明授权

US08249867B2 Microphone array based speech recognition system and target speech extracting method of the system 失效
标题翻译：基于麦克风阵列的语音识别系统和系统的目标语音提取方法
公开(公告)号：US08249867B2
公开(公告)日：2012-08-21
申请号：US12242819
申请日：2008-09-30
申请人： Hoon Young Cho , Yun Keun Lee , Jeom Ja Kang , Byung Ok Kang , Kap Kee Kim , Sung Joo Lee , Ho Young Jung , Hoon Chung , Jeon Gue Park , Hyung Bae Jeon
发明人： Hoon Young Cho , Yun Keun Lee , Jeom Ja Kang , Byung Ok Kang , Kap Kee Kim , Sung Joo Lee , Ho Young Jung , Hoon Chung , Jeon Gue Park , Hyung Bae Jeon
IPC分类号： G10L15/20
CPC分类号： G10L15/20 , G10L21/0272 , G10L2021/02166
摘要： A microphone-array-based speech recognition system using a blind source separation (BBS) and a target speech extraction method in the system are provided. The speech recognition system performs an independent component analysis (ICA) to separate mixed signals input through a plurality of microphone into sound-source signals, extracts one target speech spoken for speech recognition from the separated sound-source signals by using a Gaussian mixture model (GMM) or a hidden Markov Model (HMM), and automatically recognizes a desired speech from the extracted target speech. Accordingly, it is possible to obtain a high speech recognition rate even in a noise environment.
摘要翻译：提供了一种基于麦克风阵列的语音识别系统，该系统使用盲源分离（BBS）和目标语音提取方法。语音识别系统执行独立分量分析（ICA）以将通过多个麦克风输入的混合信号分离成声源信号，通过使用高斯混合模型从分离的声源信号中提取用于语音识别的一个目标语音（ GMM）或隐马尔可夫模型（HMM），并且从所提取的目标语音中自动识别期望的语音。因此，即使在噪声环境中也可以获得高的语音识别率。

16. 发明申请

US20090150146A1 MICROPHONE ARRAY BASED SPEECH RECOGNITION SYSTEM AND TARGET SPEECH EXTRACTING METHOD OF THE SYSTEM 失效
标题翻译：基于麦克风阵列的语音识别系统和目标语音提取方法
公开(公告)号：US20090150146A1
公开(公告)日：2009-06-11
申请号：US12242819
申请日：2008-09-30
申请人： Hoon Young CHO , Yun Keun Lee , Jeom Ja Kang , Byung Ok Kang , Kap Kee Kim , Sung Joo Lee , Ho Young Jung , Hoon Chung , Jeon Gue Park , Hyung Bae Jeon
发明人： Hoon Young CHO , Yun Keun Lee , Jeom Ja Kang , Byung Ok Kang , Kap Kee Kim , Sung Joo Lee , Ho Young Jung , Hoon Chung , Jeon Gue Park , Hyung Bae Jeon
IPC分类号： G10L15/20
CPC分类号： G10L15/20 , G10L21/0272 , G10L2021/02166
摘要： A microphone-array-based speech recognition system using a blind source separation (BBS) and a target speech extraction method in the system are provided. The speech recognition system performs an independent component analysis (ICA) to separate mixed signals input through a plurality of microphone into sound-source signals, extracts one target speech spoken for speech recognition from the separated sound-source signals by using a Gaussian mixture model (GMM) or a hidden Markov Model (HMM), and automatically recognizes a desired speech from the extracted target speech. Accordingly, it is possible to obtain a high speech recognition rate even in a noise environment.
摘要翻译：提供了一种基于麦克风阵列的语音识别系统，该系统使用盲源分离（BBS）和目标语音提取方法。语音识别系统执行独立分量分析（ICA）以将通过多个麦克风输入的混合信号分离成声源信号，通过使用高斯混合模型从分离的声源信号中提取用于语音识别的一个目标语音（ GMM）或隐马尔可夫模型（HMM），并且从所提取的目标语音中自动识别期望的语音。因此，即使在噪声环境中也可以获得高的语音识别率。

17. 发明申请

US20080082328A1 Method for estimating priori SAP based on statistical model 审中-公开
标题翻译：基于统计模型估算SAP的方法
公开(公告)号：US20080082328A1
公开(公告)日：2008-04-03
申请号：US11905140
申请日：2007-09-27
申请人： Sung Joo Lee
发明人： Sung Joo Lee
IPC分类号： G10L19/14
CPC分类号： G10L25/78
摘要： A priori speech absence probability refers to a probability that a speech is not present with respect to a frame and a frequency bin resulting from an input signal. The priori speech absence probability has been regarded as a constant (generally, 0.5) because it is difficult to estimate. However, attempts to estimate the priori speech absence probability have been made since 2002. A novel method for estimating a priori speech absence probability using a statistical model is proposed. The method for estimating a priori speech absence probability obtains a priori speech absence probability of input speech data using a local parameter, a global parameter and an average parameter. The local parameter and the global parameter are obtained by determining a smaller value than a first threshold value as 0, determining a greater value than a second threshold value as 1, and applying a raised cosine function to values between the first threshold value and the second threshold value. The average parameter is obtained by a frame average of a posteriori signal-to-noise ratio in log scale.
摘要翻译：先验语音缺席概率是指相对于由输入信号产生的帧和频率仓不存在语音的概率。先验语音缺失概率被认为是一个常数（一般为0.5），因为很难估计。然而，自2002年以来，已经做出了估计先验语音缺失概率的尝试。提出了一种使用统计模型估计先验语音缺失概率的新方法。用于估计先验语音缺失概率的方法使用本地参数，全局参数和平均参数获得输入语音数据的先验语音缺失概率。通过将比第一阈值小的值确定为0来获得局部参数和全局参数，将比第二阈值更大的值确定为1，以及将升余弦函数应用于第一阈值和第二阈值之间的值阈值。平均参数通过对数标度的后验信噪比的帧平均值获得。

18. 发明授权

US10378761B2 Hospital waste plasma incinerator 有权
公开(公告)号：US10378761B2
公开(公告)日：2019-08-13
申请号：US15588632
申请日：2017-05-06
申请人： Sung Joo Lee
发明人： Sung Joo Lee
IPC分类号： F23G7/06 , F23G5/027
摘要： The present invention provides a hospital waste plasma incinerator that has a following features. It is composed of a main body having an inlet and a cap for opening and closing the inlet, a pyrolysis incinerator for receiving the hospital waste that is disposed in the interior of the main body and connected with the inlet, a plasma flame generator installed inside the main body and generating a plasma flame toward the pyrolysis incinerator, a complete combustion device which is installed in the main body and completely burns the smoke and the odor generated due to the incineration with a plasma flame of 1,500 to 3,000° C., a complete combustion exhaust device connected to the complete combustion device to exhaust the combustion gas, and the cooling device for cooling the combustion gas.

19. 发明申请

US20090076814A1 Apparatus and method for determining speech signal 审中-公开
标题翻译：用于确定语音信号的装置和方法
公开(公告)号：US20090076814A1
公开(公告)日：2009-03-19
申请号：US12149727
申请日：2008-05-07
申请人： Sung Joo Lee
发明人： Sung Joo Lee
IPC分类号： G10L15/20 , G10L15/00
CPC分类号： G10L25/78
摘要： Provided are a method and apparatus for discriminating a speech signal. The apparatus for discriminating a speech signal includes: an input signal quality improver for reducing additional noise from an acoustic signal received from outside; a first start/end-point detector for receiving the acoustic signal from the input signal quality improver and detecting an end-point of a speech signal included in the acoustic signal; a voiced-speech feature extractor for extracting voiced-speech features of the input signal included in the acoustic signal received from the first start/end-point detector; a voiced-speech/unvoiced-speech discrimination model for storing a voiced-speech model parameter corresponding to a discrimination reference of the voiced-speech feature parameter extracted from the voiced-speech feature extractor; and a voiced-speech/unvoiced-speech discriminator for discriminating a voiced-speech portion using the voiced-speech features extracted by the voiced-speech feature extractor and the voiced-speech discrimination model parameter of the voiced/unvoiced-speech discrimination model.
摘要翻译：提供了一种用于区分语音信号的方法和装置。用于识别语音信号的装置包括：用于从外部接收的声信号减少附加噪声的输入信号质量改进器; 第一起始/终点检测器，用于从输入信号质量改进器接收声信号并检测包括在声信号中的语音信号的终点; 语音特征提取器，用于提取从第一开始/结束点检测器接收的声信号中包括的输入信号的有声语音特征; 用于存储对应于从有声语音特征提取器提取的有声语音特征参数的鉴别参考的有声语音模型参数的浊音语音/清音语音识别模型; 以及有声语音/无声语音鉴别器，用于使用由有声 - 语音特征提取器提取的浊音语音特征和有声/无声语音识别模型的有声语音识别模型参数来辨别语音部分。

20. 发明授权

US09682302B1 Golf swing practice apparatus and method of use 有权
公开(公告)号：US09682302B1
公开(公告)日：2017-06-20
申请号：US15178406
申请日：2016-06-09
申请人： Sung Joo Lee , Joon Hyeong Lee
发明人： Sung Joo Lee , Joon Hyeong Lee
IPC分类号： A63B69/36 , A63B21/015
CPC分类号： A63B69/3661 , A63B69/0057 , A63B69/3623 , A63B69/3667 , A63B2071/0694 , A63B2210/50 , A63B2225/09
摘要： A golf swing practice apparatus comprises a clasping mechanism; a cable slidably coupled to the clasping mechanism so that opposing ends of the cable extend from two ends of the clasping mechanism, the cable sized so that each of the opposing ends extends a distance from the clasping mechanism, the distance corresponding to a length of a golf club; and one or more footpads positioned at a predetermined distance from the clasping mechanism. The footpads are positioned at the predetermined distance so as to allow a user to stand upon the footpads and assume a golf swing stance, and to repeatedly rotate his or her shoulders in differing directions about the axis of rotation while grasping the opposing ends with two respective hands, thereby repeatedly sliding the cable in alternating directions through the clasping mechanism.

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